📄 中文摘要
AI 代理漂移是指在没有任何代码修改的情况下，AI 代理的行为随着时间的推移而发生变化。这种漂移通常不会引发错误或崩溃，而是表现为输出的微妙变化。主要有三种类型的漂移：模型漂移、数据漂移和概念漂移。监测这些漂移是确保 AI 系统持续有效的重要环节。通过建立监测机制，可以及时发现并应对这些变化，从而保持 AI 代理的性能和可靠性。
如何监测生产中的 AI 代理漂移
出处: How to Monitor AI Agent Drift in Production
发布: 2026年3月23日
📄 English Summary
How to Monitor AI Agent Drift in Production
AI agent drift refers to the changes in an AI agent's behavior over time without any intentional code modifications. Unlike traditional software bugs, drift does not throw errors or cause crashes; it manifests as subtle changes in outputs. There are three main types of drift: model drift, data drift, and concept drift. Monitoring these drifts is crucial for ensuring the continued effectiveness of AI systems. By establishing monitoring mechanisms, organizations can promptly detect and address these changes, thereby maintaining the performance and reliability of AI agents.